Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

The Impact of Rideshare Transportation Services on Appointment Adherence

University of Pennsylvania · 2016
ClinicalTrials.gov · Datasets · License: Public Domain · 2016
Open Source ↗
naprimary-health-caresocial-determinants-of-healthtransportation
This study is a prospective clinical trial designed to primarily test the impact of rideshare-based transportation services from a digital transportation network, Lyft, on reducing primary care clinic missed appointments--a composite outcome of no-shows and same day cancellations--for Medicaid patients. The study population consists of West Philadelphia residents who are established patients at two of the Penn Medicine Primary Care Practices within the University of Pennsylvania Health System. The study subjects are allocated into the intervention or control arm using a pseudorandomization approach - those receiving an appointment reminder on an even calendar day are in the intervention arm and odd calendar day calls are in the control arm. Secondary outcomes include the time of arrival to the clinics relative to actual appointment time (both arms), prospective utilization of acute care settings (both arms), prospective utilization of primary care (both arms), and description of programmatic metrics in the intervention arm (travel time, misuse, and costs). The investigators will assess the patient experience after each ride using a telephone-based survey and in-depth interviews. All adults with established primary care at the Penn Medicine Clinics, who have Medicaid, and do not require wheelchair accessible rides will be eligible for the rideshare service. The investigators hypothesize that individuals offered a rideshare-based transportation service will have a decreased proportion of missed appointments and same day cancellations as those not offered the service.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 847320
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive